In dit onderzoek is gekeken naar voorbeelden uit de literatuur vanuit verschillende gezondheidsdisciplines. Verschillende studies pasten machine learning (vaak deep learning) toe voor de vroegdetectie van ziekten op basis van beschikbare data uit het elektronisch patiëntendossier (EPD). Het bleek dat …

Designing lead-free piezoelectric ceramics with tailored electrical properties remains a critical challenge for various applications. In this paper we present a novel methodology integrating Machine Learning (ML) and optimization procedures to fine-tune electrical properties in lead-free (1-x) Na0.5 …

Repeating an experiment following the exact same procedures and using the exact same data and tooling should always give the same results. This is referred to as replicability, a key principle within the scientific research community. To support replicability in a clinical context, recording and reporting …

Deze scriptie onderzoekt de invloed van kunstmatige intelligentie (AI) op web development. AI-tools zoals automatische codegeneratie en machine learning verbeteren de efficiëntie, gebruikerservaring en zoekmachineoptimalisatie. De integratie van AI brengt echter uitdagingen zoals technische beperkingen …

Abstract Technology has a major impact on the way nurses work. Data-driven technologies, such as artificial intelligence (AI), have particularly strong potential to support nurses in their work. However, their use also introduces ambiguities. An example of such a technology is AI-driven lifestyle monitoring …

Workshop Machine Learning for Kids at the NLAIC conference